| 2020 | Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. | Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu |
| 2020 | Learning a Neural-network-based Representation for Open Set Recognition. | Mehadi Hassen, Philip K. Chan |
| 2020 | Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. | Ruocheng Guo, Jundong Li, Huan Liu |
| 2020 | SPADE: Streaming PARAFAC2 DEcomposition for Large Datasets. | Ekta Gujral, Georgios Theocharous, Evangelos E. Papalexakis |
| 2020 | Optimal Bidding Strategy without Exploration in Real-time Bidding. | Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan |
| 2020 | Deep Multi-sphere Support Vector Data Description. | Zahra Ghafoori, Christopher Leckie |
| 2020 | D | Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil |
| 2020 | Bayesian Modeling of Intersectional Fairness: The Variance of Bias. | James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan |
| 2020 | Deep Adversarial Canonical Correlation Analysis. | Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang |
| 2020 | Finding the Sweet Spot: Batch Selection for One-Class Active Learning. | Adrian Englhardt, Holger Trittenbach, Dennis Vetter, Klemens Bhm |
| 2020 | Exploring the Unknown - Query Synthesis in One-Class Active Learning. | Adrian Englhardt, Klemens Bhm |
| 2020 | HIDRA: Head Initialization across Dynamic targets for Robust Architectures. | Rafael Rgo Drumond, Lukas Brinkmeyer, Josif Grabocka, Lars Schmidt-Thieme |
| 2020 | BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks. | Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He |
| 2020 | Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. | Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie |
| 2020 | Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. | Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne |
| 2020 | Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data. | Xin Dai, Xiangnan Kong, Xinyue Liu, John Boaz Lee, Constance M. Moore |
| 2020 | Document Clustering Meets Topic Modeling with Word Embeddings. | Gianni Costa, Riccardo Ortale |
| 2020 | Dual Coordinate-Descent Methods for Linear One-Class SVM and SVDD. | Hung-Yi Chou, Pin-Yen Lin, Chih-Jen Lin |
| 2020 | Two-variable Dual Coordinate Descent Methods for Linear SVM with/without the Bias Term. | Chi-Cheng Chiu, Pin-Yen Lin, Chih-Jen Lin |
| 2020 | Representation Learning for Imbalanced Cross-Domain Classification. | Lu Cheng, Ruocheng Guo, K. Seluk Candan, Huan Liu |
| 2020 | GRIA: Graphical Regularization for Integrative Analysis. | Changgee Chang, Jihwan Oh, Qi Long |
| 2020 | Content-Aware Successive Point-of-Interest Recommendation. | Buru Chang, Yookyung Koh, Donghyeon Park, Jaewoo Kang |
| 2020 | Adiabatic Quantum Computing for Max-Sum Diversification. | Christian Bauckhage, Rafet Sifa, Stefan Wrobel |
| 2020 | Features or Shape? Tackling the False Dichotomy of Time Series Classification. | Sara Alaee, Alireza Abdoli, Christian R. Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh |
| 2020 | On Supervised Change Detection in Graph Streams. | Charu C. Aggarwal, Yao Li, Philip S. Yu |